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Channel audit · @momo_aidesign-s5w

@momo_aidesign-s5w Channel Audit: 1,650 Subs, 277 Videos Analyzed

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@momo_aidesign-s5w has uploaded 277 videos to earn 1,650 subscribers and 108,845 total views — roughly 393 views per video lifetime. The channel runs Momo Hasegawa's AI Design school out of Japan, all long-form, targeting working moms who want to monetize design skills using AI tools.

Channel data · captured Jun 16, 2026

Handle
@momo_aidesign-s5w
Subscribers
1,650
Videos
277
Country
Japan

🍑もものAIデザイン教室🍑 誰でも使える・結果に繋がる! AI×デザインのヒントを、わかりやすくお届けします🎨✨ ▼こんな方におすすめ✨️ ✅️子育てと本業の合間に 副収入 をつくりたい ✅️デザイン苦手意識があるけど もっと上手くなりたい ✅️デザインでプロのレベルを目指したい ▼無料プレゼント 🎁 各動画の内容に合わせた チェックリスト/テンプレ/プロンプト集などを配布中! 受け取り方:各動画のコメントで合言葉 + 概要欄の 公式LINE 登録で自動返信📩 ▼もも(長谷川 麻子)とは🍑 もも(長谷川麻子)|株式会社momocri 代表/AIデザイン大学 校長。 営業7年 → 30歳でWebデザイナー転職 → フリーランス → 起業。2児の母。 デザイン会社を経営し、100社以上のデザイン支援と人気デザイン講師の経験。 AI活用で制作を時短し、収益化までの道筋を包み隠さずシェアします✨️ 更新を逃さないよう、チャンネル登録&ベル通知🔔 をオンに。 あなたの“最初の1枚”、ここから一緒に完成させましょう💡

1,650 subs across 277 videos puts @momo_aidesign-s5w in an unusual spot. The channel-wide ratio works out to roughly 6 subscribers per video and 393 views per video — both well under what a Japanese AI/design creator with this much volume would typically pull. To put it differently: a 277-video archive is the kind of catalogue most channels build over three or four years of consistent posting, and converting that into 1,650 subs suggests the bottleneck is reach, not effort.

The recent-uploads picture is harder to read from outside. Our scrape returned 30 long-form videos in the last batch with 0 views each — that's almost certainly a scrape-time artifact (brand new uploads that hadn't accumulated views yet, or a render delay) rather than a real audience cliff. But it's worth flagging because if it IS real, that's a very different conversation. The safer read: the channel is still uploading, all long-form, no Shorts in the last 30 — which is itself a notable positioning choice in 2026 when most Japanese design educators have at least some Shorts mix.

What's working, from what's visible: the positioning is unusually clear. Momo (Hasegawa Asako) frames herself as the principal of "AI Design University," with a stated path of corporate sales → web designer at 30 → freelance → CEO of momocri. That's a specific, credible origin story, and pairing it with "for moms with 副収入 goals" gives the channel a niche-within-a-niche that most generic AI tutorial channels miss. The description leans hard into a lead-magnet system — checklists, prompt packs, templates given out via the channel's LINE official account using a comment-keyword trigger. That's a sophisticated funnel for a 1,650-sub channel and suggests revenue is happening off-platform even if on-platform numbers look modest.

The growth gap I can diagnose from outside: 277 videos is a LOT of inventory to be carrying with this little aggregate reach. Lifetime views of 108,845 across 277 uploads means roughly 80% of those videos likely sit in the under-300-views range. In YouTube's current 2026 recommendation environment, a deep archive of low-CTR videos can actually drag the channel's overall surface signal — the algorithm reads the channel's typical performance, and a lot of long-tail underperformers can flatten the ceiling for newer uploads. Most established channels in this spot benefit more from unlisting or revisiting their bottom 100 videos than from publishing video 278.

The other thing worth checking — and I can't verify this from outside, only suggest it — is whether the thumbnails and titles on the recent batch are speaking to the same "副収入が欲しい working mom" audience the description targets. Channels that have been posting for years often drift between audience personas without realizing it. A 277-video back catalogue will inevitably contain stuff aimed at hobbyists, stuff aimed at career-switchers, stuff aimed at agency owners. From the algorithm's perspective, that mixed signal can make it hard to find the right viewer for any single video.

Honestly, the one move I'd be most curious about for this channel: testing 2-3 Shorts a week derived from the existing long-form catalogue. With 277 videos of source material and a clear niche, the Shorts pipeline writes itself. In Japan especially, the Shorts-to-long-form bridge has been one of the more reliable growth patterns for educator-type channels in the last 12 months — it gets you in front of cold audiences who'd never click a 12-minute design tutorial cold. Not a guaranteed fix, but with this much existing content to repurpose, it's the lowest-friction experiment available.

One small aside: the channel is in Japanese, hosted from Japan, and the lead magnet system uses LINE rather than email or Discord. That matters because the playbook from English-speaking AI/design YouTubers doesn't fully port. Japanese viewers convert more reliably through LINE than email; long-form education channels tend to grow slower but retain longer; and the Shorts ecosystem in Japan still skews younger than the working-mom demographic Momo is targeting. So any growth tactic borrowed from American creators needs translating, not just copying.

Common questions

How many subscribers does @momo_aidesign-s5w have?

As of June 2026, @momo_aidesign-s5w sits at 1,650 subscribers with 277 uploaded videos and 108,845 lifetime channel views. That works out to roughly 393 views per video and 6 subscribers per video — both figures sit below what's typical for a Japanese AI/design educator channel with this much catalogue depth. The channel has been actively publishing for years (the video count suggests at least 3-4 years of regular output), so the sub count tells us reach is the bottleneck rather than upload consistency.

What niche is @momo_aidesign-s5w's channel in?

@momo_aidesign-s5w is a Japanese-language AI design education channel run by Momo Hasegawa, who positions herself as the principal of "AI Design University." The audience target is specific: working moms juggling 副収入 (side income) goals with childcare, plus design beginners wanting to skip the steep learning curve by using AI tools. It's a niche-within-a-niche — not generic AI tutorials, not generic design education, but specifically design-via-AI for working parents seeking monetization paths. That positioning is unusually clear for a 1,650-sub channel.

How often does @momo_aidesign-s5w upload?

The channel runs entirely on long-form video — 30 of the last 30 uploads are long-form, zero Shorts in the recent batch. The total video count of 277 suggests a consistent upload pattern over multiple years, likely averaging 5-8 uploads per month across the channel's lifetime. The recent batch shows continued publishing activity. The all-long-form choice is notable in 2026 — most Japanese design educators with similar audience targets have at least a 20-30% Shorts mix by this point in their growth.

Why does @momo_aidesign-s5w have so many videos but few subscribers?

With 277 videos converting into 1,650 subs, the math works out to roughly 6 subscribers per video — well under what you'd expect for a channel with this much catalogue depth. The most likely diagnosis from outside data: reach is the bottleneck, not output. A deep archive of low-view videos can weigh down the channel's algorithmic surface signal in YouTube's current recommendation system, where the algo reads channel-wide patterns. Pruning or revisiting the bottom-performing 100 videos often moves the needle more than publishing video 278.

What's @momo_aidesign-s5w's lead generation strategy?

The channel runs a sophisticated off-platform funnel: each video has a "gift" (checklist, template, or prompt pack) that viewers claim by commenting a keyword and joining the channel's official LINE account. This is a Japan-specific tactic that doesn't really exist in English-speaking YouTube — LINE converts much better than email for Japanese audiences. For a 1,650-sub channel to be running a comment-triggered LINE funnel suggests Momo is monetizing off-platform (likely through her design company momocri and the "AI Design University" brand) rather than relying on YouTube revenue.

What could @momo_aidesign-s5w do to grow faster?

From outside data, the highest-impact move would be testing 2-3 Shorts per week derived from the existing 277-video back catalogue. With this much source material and a clear niche-within-a-niche positioning, the Shorts pipeline writes itself. The secondary move worth considering: auditing the bottom 100 videos for relevance to the current "working mom AI design" positioning — older content aimed at different personas can muddy the algorithm's understanding of who the channel serves. Neither is a guaranteed fix, but both are low-friction experiments.

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